I. Zuna

7.8k citations
149 papers · 6.0k indexed · h-index 45

Impact in

Papers in

I. Zuna

145 papers receiving 5.8k citations

Peers

I. Zuna
Comparison fields: 5 of 147
  • Radiology, Nuclear Medicine and Imaging 3.0k
  • Cancer Research 762
  • Pulmonary and Respiratory Medicine 1.5k
  • Genetics 382
  • Oncology 762
Replace G. van Kaick with:
G. van Kaick Germany
Emilio Bombardieri Italy
Massimo Bellomi Italy
Mark Rosen United States
Ludwig G. Strauss Germany
Dominique Delbeke United States
Ukihide Tateishi Japan
David J. Collins United Kingdom
Alessandro Del Maschio Italy
Michael Kuo United States
I. Zuna relative to G. van Kaick Germany G. van Kaick's profile →
Citations per field
00.5×1.5×2.4×
G. van Kaick · 1×
Citations per year

Countries citing papers authored by I. Zuna

Since Specialization
Citations

This map shows the geographic impact of I. Zuna's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by I. Zuna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Zuna more than expected).

Fields of papers citing papers by I. Zuna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. Zuna. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by I. Zuna. The network helps show where I. Zuna may publish in the future.

Co-authors

The 25 scholars most cited alongside I. Zuna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with I. Zuna Line = papers co-authored together I. Zuna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201315
2 201256
3 200530
4 200428
5 200484
6 200467
7 200443
8 200484
9 200378
10 200339
11 200285
12 1999301
13
Eine multizentrische Studie zu diagnostischen Kriterien in der Mammasonographie : Statistische Fallstricke und Wege aus dem Datendschungel
19981
14 199850
15 19985
16 19984
17 199717
18 19975
19 199414
20 19922

About I. Zuna

I. Zuna is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Genetics, Otorhinolaryngology and Hepatology, having authored 149 papers that have together received 6.0k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (25 papers), Advanced MRI Techniques and Applications (24 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Ultrasound and Hyperthermia Applications (17 papers), Angiogenesis and VEGF in Cancer (12 papers), Breast Cancer Treatment Studies (11 papers), Medical Imaging Techniques and Applications (11 papers) and Glioma Diagnosis and Treatment (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.0k citations), Cancer Research (762 citations), Pulmonary and Respiratory Medicine (1.5k citations), Genetics (382 citations) and Oncology (762 citations). I. Zuna has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include G. van Kaick, Stefan Delorme, Michael V. Knopp, Gunnar Brix, Jürgen Debus, Hans‐Ulrich Kauczor, Lothar R. Schad, Marco Essig, H. Hawighorst and Stefan Blüml. Their work appears in journals such as European Radiology, Investigative Radiology, Ultrasound in Medicine & Biology, Radiology and International Journal of Radiation Oncology*Biology*Physics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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